{"id":"W1857070512","doi":"10.26877/e-dimas.v1i2.145","title":"PELATIHAN KAJIAN ANALISIS SASTRA MEMBANGUN KETERAMPILAN DIRI DENGAN KEMAMPUAN MENGANALISIS IMAJINASI SASTRA BAGI MAHASISWA IKIP PGRI SEMARANG","year":2010,"lang":"en","type":"article","venue":"E-Dimas Jurnal Pengabdian kepada Masyarakat","topic":"Educational Research and Methods","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"WiLAN (Canada)","funders":"","keywords":"Indonesian; Psychology; Scope (computer science); Mathematics education; Sociology; Pedagogy; Medical education; Computer science; Medicine; Linguistics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008090069,0.0008151041,0.0009123856,0.0008360568,0.002799829,0.00130901,0.00190962,0.0005999331,0.007388566],"category_scores_gemma":[0.003881305,0.0008162449,0.0007489006,0.001721608,0.00111028,0.001312212,0.0002342868,0.00298623,0.0004194156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005497707,"about_ca_system_score_gemma":0.002038313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006244518,"about_ca_topic_score_gemma":0.0429664,"domain_scores_codex":[0.9899493,0.002506811,0.001090933,0.001295796,0.002749203,0.002407999],"domain_scores_gemma":[0.9929034,0.002020377,0.0004916923,0.001127895,0.0007723653,0.002684295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001463711,0.002653598,0.4168828,0.000641785,0.001757725,0.001610531,0.09615991,0.00009816585,0.09313508,0.05617751,0.0669212,0.262498],"study_design_scores_gemma":[0.001932846,0.0003916901,0.3555933,0.0002444351,0.0002793719,0.0001754192,0.03325894,0.0001141195,0.005948924,0.004485474,0.5954356,0.002139836],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9014109,0.000505403,0.0001223699,0.008043711,0.001989153,0.0008885886,0.0001874378,0.0002581453,0.08659426],"genre_scores_gemma":[0.9673383,0.0002979769,0.01940463,0.0006993309,0.003637565,0.0001096628,0.0001353532,0.0001368625,0.008240319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5285144,"threshold_uncertainty_score":0.9997277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02704419430431487,"score_gpt":0.3756314197950623,"score_spread":0.3485872254907474,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}